Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability.
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Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics.
In this provocative work, Luigi Burzio argues that many common assumptions within stress theory, and phonological theory more generally, are in fact rather arbitrary. He proposes radical departures from recent tradition. In Part I he analyzes stress in the underived English lexicon, arguing that the basic accentual groups or “feet” are not monosyllabic or bisyllabic, […]
Between the ages of eighteen months and six years, children acquire about eight words each day without specific instruction or correction, simply through the course of natural conversational interactions. This book brings together investigations from a variety of disciplinary backgrounds (with an emphasis on linguistics, psycholinguistics, and computer science) to examine how young children acquire […]
The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks.
Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision.
Translation of the entire treatment, including peer commentary: On the proper treatment of connectionism, The Behavioral and Brain Sciences, 11, 1-74; with an introduction by Marcello Frixione.
The science associated with the development of artificial sensory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the development of algorithms for distilling information about the world and recognition of various objects in the environment […]